{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Customizing visualizations\n",
    "\n",
    "## About the Data\n",
    "In this notebook, we will be working with 2 datasets:\n",
    "- Facebook's stock price throughout 2018 (obtained using the [`stock_analysis` package](https://github.com/stefmolin/stock-analysis))\n",
    "- Earthquake data from September 18, 2018 - October 13, 2018 (obtained from the US Geological Survey (USGS) using the [USGS API](https://earthquake.usgs.gov/fdsnws/event/1/))\n",
    "\n",
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "fb = pd.read_csv(\n",
    "    'data/fb_stock_prices_2018.csv', index_col='date', parse_dates=True\n",
    ")\n",
    "\n",
    "quakes = pd.read_csv('data/earthquakes.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding reference lines\n",
    "### Horizontal reference lines\n",
    "`axhline()` adds horizontal lines. We simply specify the y value to draw the horizontal line at with the `y` parameter. Optionally, we can provide:\n",
    "- `label` for a string that will show up in the legend\n",
    "- `color` for the color of the reference line\n",
    "- `linestyle` for the type of line to draw\n",
    "\n",
    "We will draw reference lines for support and resistance using the [`stock_analysis` package](https://github.com/stefmolin/stock-analysis) that we will build in chapter 7. To get these metrics, we need to create a `StockAnalyzer` object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from stock_analysis import StockAnalyzer\n",
    "\n",
    "fb_analyzer = StockAnalyzer(fb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the `fb_analyzer` we can use the `support()` and `resistance()` methods to get the values we seek:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(124.4566666666667, 138.5266666666667)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "support, resistance = (\n",
    "    getattr(fb_analyzer, stat)(level=3) for stat in ['support', 'resistance']\n",
    ")\n",
    "support, resistance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have the values, we can add our reference lines with `plt.axhline()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1ded5210>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.close['2018-12'].plot(title='FB Closing Price December 2018')\n",
    "plt.axhline(\n",
    "    y=resistance, color='r', linestyle='--',\n",
    "    label=f'resistance (${resistance:,.2f})'\n",
    ")\n",
    "plt.axhline(\n",
    "    y=support, color='g', linestyle='--',\n",
    "    label=f'support (${support:,.2f})'\n",
    ")\n",
    "plt.ylabel('price ($)')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vertical reference lines\n",
    "For vertical lines, we use `axvline()` and provide the `x` parameter for where to draw it. The `std_from_mean_kde()` function draws vertical reference lines using `axvline()` at each standard deviation from the mean (1-3) and the mean. Note, we need to import it from the `std_from_mean_kde.py` module, before we can use it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'mb earthquake magnitude')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from std_from_mean_kde import std_from_mean_kde\n",
    "\n",
    "ax = std_from_mean_kde(\n",
    "    quakes.query(\n",
    "        'magType == \"mb\" and parsed_place == \"Indonesia\"'\n",
    "    ).mag\n",
    ")\n",
    "ax.set_title('mb magnitude distribution in Indonesia')\n",
    "ax.set_xlabel('mb earthquake magnitude')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Arbitrary straight lines\n",
    "For a straight line, we just need to provide 2 endpoints which will be connected to form a line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'y')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([0, 2], [2, 0])\n",
    "plt.suptitle('straight line')\n",
    "plt.xlabel('x')\n",
    "plt.ylabel('y')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Shading regions\n",
    "We can use `axhspan()` and `axvspan()` to shade horizontal and vertical regions, respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Price ($)')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = fb.close.plot(title='FB Closing Price')\n",
    "ax.axhspan(support, resistance, alpha=0.2)\n",
    "plt.ylabel('Price ($)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Rather than filling in a rectangular region, we can fill between two curves using `plt.fill_between()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'FB differential between high and low price Q4 2018')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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x8bLAEoW1DjPGmPhZYIni0zU7rbOkMcbEyQJLFKrwxOz1zZ0MY4xpUdpsYMnL8fav/3nGcm58YTE1tfWxNzbGGNN2A8ukAUWet733gzVccOdH1mnSGGM8aLOB5YghJWRnieft564r5/Q7PmD9zsoUpsoYY1q+lAUWEblHRLaKyKKQ5deKyHIRWSwifwpa/jMRWemuOylV6QroVJDLYf2851oAtu+t5tL7ZrF7/4G49ttfUxfX9sYY05KlMsdyH3By8AIRORY4ExirqqOAW93lI4ELgFHuPv8UkewUpg2Ao4eVxL3Pyq17ueaRuRyo81bnUrZ7P89/lp7Rkl/4bJMV1xljml3KAouqvgvsDFl8FfBHVa12t9nqLj8TeExVq1V1NbASmJyqtAUcM6w0of3eW7GdXz+/GFWNue2MRZv56IsdCZ0nHht2VfLzZxby5OwNKT+XMcZEk+46lmHANBH5RERmisgkd3lvILhd7wZ3WRMicoWIzBaR2du2bUsqMaN6daJr+7yE9n3kk3Xc/f7qmNu9smgzH6/a6SkIJaquXvnhE59RUVXL47PWU1+funMZY0ws6Q4sOUARMBX4MfCEiAgQrhY97N1RVe9U1YmqOrFbt25JJSYrS5g2NP7isICbX17KG0u2RFy/fW81s9bsZPOeKtbuSF2l/13vreKT1U7mcGP5ft5buT1l5zLGmFjSHVg2AP9Tx6dAPVDiLu8btF0fYFM6EnTM8MbBqTAvm6LCXE/7qsJ1j81j8abdYde/vmQLgczDx6tSUxy2ZNMe/vLa8kbLHv1kXUrOZYwxXqQ7sDwLHAcgIsOAPGA78DxwgYjki8hAYCjwaToSNG3owcAiAn+74FDOHB+2FC6sypo6LrtvNlv2VDVZFzyIZaoCy3OfbeRAXePM3RtLt7C1oml6jDEmHVLZ3PhR4CNguIhsEJHLgHuAQW4T5MeAS9zcy2LgCWAJ8CpwtaqmpY1uSYd8RvfuBMAvTj2EL43szqljesZ1jM17qrjs/llU1hycz2X3/gN8+MXBIqlU1bMsLatosqy2XnlqjlXiG2OaRypbhV2oqj1VNVdV+6jq3apao6pfV9XRqjpBVd8K2v5mVR2sqsNV9ZVUpSucY4Z148LJfbnsqIEATOxfRGnH/LiOsWjjHq5/bH5Dxflby7Y0ykmkqp5lyaY9YZdbJb4xprm02Z73wS6c3I+bzhyN047AqdQ/ZXSPuI/z2pIt3PLqMiD8XC5+F4dtrahi+97woy+v3VFplfjGmGZhgQXoU1RIbnbjtyLe4rCA/7y7inveX83Mz5s2hfY7sETKrQT8ecYyy7UYY9LOAksEEwcU0y3O4rCAm15c0mRGSvC/niVc/UqwRRv38Fyaev0bY0yABZYIshMsDovG73qWJWXRcywAf351OVUHbKwyY0z6WGCJItHisGj8LA5bEtJ/5rD+RbTLbTzE2qbdVdz7wRrfzmmMMbFYYIliUhLFYZH4FVj219Sxevu+RsumDipmYEn7Jtv+8+2V7IhQyW+MMX7Lae4EZLLsLOHMcb34r4cxwaLp1jGfbRXOjT1QzxJogZao5VsqCK2XnzKwK+t27m9SRFZRXcvP/rfQGb5GBMHpDCoIIpDl/o1Ar87tOCqJYW6MMcYCSwzXHjeUZ+dvitisN5beXdoxuncnZix2xhTbvKeKNTsqw+Ys4hHaIiwnSzisfxFz1+0Ku/1rS7bwWpRxzQJKO+bzyc+PTzrwGWPaLisKi6FzYS43nD4y4f0nDSiiV5d2jZZFKg6LJ3gtKWtcvzKmT2fa5+cwuFuH+BMZZGtFdczWZsYYE40FFg9OH9uT6cMTG0l58sCu9A4JLOHmZ9m+t5ppt7zNX15b7mnGydAcy5SBXQEY1C25nBAQtg+OMcZ4ZYHFAxHht2eObtLiyovJA4uaBJaPV+1o0p/l5YVl7D9Qxx1vreSE22ZGHY6/vl5ZtrlxrmLKoGIABpUkl2MBmPn51tgb+SyV89UYY9LLAotHfYsL+eGJw+Lap7h9HoO7dWhSFLa1oppVIS26np9/cJaADbv28+0HZvPt+2ezfmfTfi9rd1ZSGZSryRJnfDOAdnnZTQJZvGav2cXe6trYG/poTQrnqzHGpJcFljhcdtRAfnzScM/bT+xfhIjQu6jpjT64nmXDrkpmr21a6f7G0i2ccNtM/v7WCqprDwaS0GKw0b0707Hg4BwyyRaH1dYrH6R5nLHP1pezu/JAWs9pjEkNCyxxEBGuPnYI//nGYRTmxS4WmzzQKZ7q2j6P/JzGb/XHq3Y2/P3CZ2URj1F1oJ5bX/ucU/76Hu+vcG72oRX3U9zzBCRbgQ/pr2fZua+GRREmTDPGtCwWWBJw0qgePHXlEfTqXBB1u0BgEZGwFfiBeoXnP4s9Weaq7fv4+t2fcPUjcxsFJYCpg7o2ej241IfAsnxbWus9yitrWLjRAosxrYEFlgSN7NWJ5645ign9uoRd3z4vm5E9OzW8Dq1n2b63mi+27WPFlgqWehjzK+ClBWXMCSo2E3EGzAw22IeWYRvL9/PFtn2xN/TJrsoDFliMaSUssCShW8d8Hrl8Kucc2nQq4wn9i8gJGoq/V5emuZuPVu3wlFuJZmTPTnRul9tomR9FYZDe4rBdlTUstsBiTKtggSVJBbnZ/OX8cfzk5BEEd1afHJKL6N2lsMm+H3+RfGA5PKQYDJze8x3ykx9U4Z3l6Wt2XF55gDU7KtlTZRX4xrR0Flh8ICJcNX0wd35jYkOl/qSQCvVwOZbXlmxOehj940aUhk2PH8Vhn6zeyT3vr+a9FdvYvLsqpXUuuyprAFhkuRZjWjwLLD46YWR3nr7qCAaWtGd838Z1L+H6lhyoS+5G3TE/p0n9SkCixWHBua6a2npuenEJ37j7U6b+4U3+8fbKhI7pRbnb1NgCizEtnwUWnx3SsxMvXXcUBSG99MP1ZUnWtGEl5OWEv4Tx9mUZ0aMjvz97DPdfOjniNm8uS13RWCDHsnCj94YMxpjMZKMbp0BhXtO3tUeMpsmJOG5E94jrvORYcrOFk0f35OLD+zd05qysqSVLaDIkP8D89eVs31tNSQd/56iprq1rGEkgXI5l2eY9jOjRqclyY0xmshxLmuTnZFPq46RhIkQdGDNaX5YenQr4wQnD+OCnx3HHhYcyaUBxwzD5hXk5DImwryq8s9z/lmLlQT3uV2/fR0VQBf6a7fv46n8+bpjPxhiT+SywpFFoX5ZkjOvTJWrOoX/XQrJCplQ5fFBX/nXRBN7/ybFcd/xQSjuGz0WN6R2+bw7Am0tjz+kSr0AxWMDioCFrbnvjc3bvP8Dtb37u+3mNMalhgSWNkh0cMli41mDB8nOy6VtcSI9OBVw1fTBv/OAYHr1iKqeM6dmof004Y3pHLnZ69/Nt1NTWJ5TmSHbta9zEOFActrRsT0Nz7Ec/Xc/KrXt9Pa8xJjWsjiWN/KzAjxVYAO78xkSGlHYgOzTrEsOYPp0jrttXU8enq3f6On1xeUiOJdAD/y+vfU6ghXNdvfLHV5bx30sm+nZeY0xqWI4ljWKNLeZV9075jOoVuzJ7eI+OcQcVgJE9OzcpRgv25jJ/i8N2hYxqvHDjbuas3cUbIcVubyzdwicRZt+MxTpeGpM+FljSyK86luNGlKZ0Tvp2edkMLe0Ycf2bS7f62lkytI5l9fZ9/O6lJWG3/f3LS6kP12Qtii+27eX+D9YkmjxjTJwssKSRH0Vh2VnCqWN6+pCa6KIVh63bWenrAJWhRWGqMG9dedhtP9uwmxcWxDcMznPzNvLs/I02S6UxaWKBJY2SrbyfNrSEV743jWlDIzcz9suY3pEDC8BbPhaHhRaFxfKnV5dTdaAu9oY4Ux4/O38TX2zbx5I4RpE2xiTOAksadW6XS3sPE4SFGljSnrsvmcgD35rMsO6Ri6j8NDpGYPGzP0tojiWWjeX7eeCjNZ62nbe+nHXu9M7JDvhpjPHGAksaiUhc9Swd83P45WmHMOP6ozn+kO4prVcJNbJnp6gV//PXl1Nb50+z43hzLAB/f2ulp4D03LyNDX+/MH9T3PUzxpj4WWBJMy+BJUvgwsn9ePvH0/n2tEERxwNLJacCP3Lv/cqaOpZvqfDlXKGV917sqarljreiD4p5oK6eFxccnPZ50+4qZgdNkmaMSQ0LLGkWqwJ/6qBiXrx2Gn84Z4zvY3LFK1Y9y1yfbtK79sUfWAAe+GgNa3dEbkTw/srt7Ag59vOfbYywtTHGLxZY0mxQSeRRh2/9yjgevXwqIz30UUmHaC3DgEZTJCeqvl7ZvT+xPiYH6pQ/zVgecf2z85oGkZcWlHHApyI8Y0x4FljS7KRRPcIu71dcyLkTeqe1HiWWWDmWOeuSDyx7qg6EHUnZq5cWlDE3TDr2Vdfy2uKmLdd2VR7g/RXbEz+hMSYmCyxp1re4kHFhcgKnje2ZUUEFnLllovXAX79zP1v3VCV1jkQq7kP9/qWljfqo1Ncrv3p2EfsjNEl+PQUDaRpjDkpZYBGRe0Rkq4gsClr2GxHZKCLz3Z9Tg9b9TERWishyETkpVenKBKeNbdrB8cthljW3gtxsenaOXicULrcQj0Qq7kPNXruLGW7uRFW56cUl/C9MMVjAnDVWgW9MKqUyx3IfcHKY5bep6nj352UAERkJXACMcvf5p4jE3+GjhQjtOT+opD0je2ZGvUqoASWFUdfPjdBD3qt4+7BEcsuryzhQV8/tb67gvg/XRN32860VCdfrGGNiS1lgUdV3gZ0eNz8TeExVq1V1NbASiDxHbgvXp6iQQ/sdnPMkE4vBAvoVR5/iONkK/NAh8xO1evs+Lr13Fn99Y0XMbVWdfjjGmNRojjqWa0RkgVtUVuQu6w2sD9pmg7usCRG5QkRmi8jsbdv8n80wXU4LyrV8eWyvZkxJdP27Rs+xLNywm+pab8OrhONHUVjA+yu9V8rPWeP1mccYE690B5Z/AYOB8UAZ8Bd3ebjH9bBthVT1TlWdqKoTu3VL/ZhZqRKoZxla2oHhPdIzTEsiBsQILDV19SzamPgYXOU+VN7Hkp0lTZp5+9GizRgTXloDi6puUdU6Va0H7uJgcdcGoG/Qpn2AVj2wU8/O7ZjYvyijcysQuygMkuso6WeOJZIvHVLKCSO7N1o2f51/Q9IYYxpLa2ARkeBa67OBQIux54ELRCRfRAYCQ4FP05m25nDa2J58eVzmtQYL1i9GjgWSaxkWLscyuncnTzNkenXB5H5MHFDcaNm+mjqWbfZnSBpjTGMpm5pYRB4FpgMlIrIB+DUwXUTG4xRzrQG+A6Cqi0XkCWAJUAtcraqJF9y3EF+d1JfCvMyeHbpDfg4lHfLZvrc64jaz1+5CVRNqgBCcY+nftZAfnTic08b0JCtL+HT1Tv74ytKkWp717tKOo4d2C9sKbO66XTFHcTbGxC9ldzVVvTDM4rujbH8zcHOq0pOJMj2oBPTvWhg1sGyrqOaoW96ma4c8igrzKG4f+J1LUfs8igvznN/t8xjcrUOjUZMDHSTH9enMk1ce0WjAzckDi3n6qiN4aWEZv3p2UUKdKc+f2JfsLKG4fR5DSjuwcuvehnWz1+zi4sMHxH1MY0x0LePOZppV/+LCmM2KN5bvZ2P5/pjHuv9bkzlm2MFGF4F+LH2KC8OO4iwifHlsLyYPKObHTy1g5ufeWwJmCZw/qU/D60kDihoFFj/GOjPGNBWzjkVESkXkbBG5WkS+JSKTRcSGgmlD+neNXYHv1SsLyxq9DhSFFRfmRd2vtFMB9106id+eOYqCXG8fv2OHlzYaOWBi/8b1LBvL97N5d3JD0hhjmor4DRWRY0VkBvAScArQExgJ/BJYKCI3ikhmdhc3vorVlyUeMxZvbhhduOpAHVUHnL+L2kcPLODkXr5x+ABevHYaY2OMvAzOnDbBJoVU4IPlWoxJhWiPfqcCl6vqJFW9QlV/qao/UtUzgHHAPOCEtKTSNCs/A8uuygN8vGqH+/fBivviwlzPxxhS2oGnrzqCa48bEnGQzAFdC5k+vHE/p77F7Sjt2HiOGwssxvgvYmBR1R+r6roI62pV9VlVfTp1STOZws+iMICXF24GGg/nUhznpGa52Vn88MThPHmPaOx4AAAgAElEQVTlEU0C37ShJfzvu0eSk9344y0iTXItn67Z0WhkZGNM8qIWVofWpYjIRSJypYj49whrMl5RYS4d8/1r5zFj8WZq6+obDUAZq44lksP6F/HyddO4YFJfROB7xw/lvksnUxyhaG3igKJGrxdt3MNDn4R9fjLGJChWLehLInIIgIj8ArgYpxjssVQnzGQOEaF/jFGO47FzXw2frN7ZqPlwUXvvRWGh2ufn8Mdzx/L+T47j+ycMa9ScOVS4epYbn1/MLBs7zBjfRKu8PwanB3w39+9vAP/BCSojRORoEekXaX/TuvT3MLRLPF5aWNa4jsVD5X0svbtEnzsGYESPjrTPazwjQ229ctVDc62FWAuzYVdlcyfBRBArx5IFdAJ6AHVAYPjYwDcwM8d6N74LHdplWPcOSR1vxqLN7Nh7MLAUJVgUFq+c7Cwm9C9qsnz73mqufGhOUiM1m/Sprq3jukfnUZ/MvNYmZaJV3s8EHgJuAf4E3OrOsbII2Kaq76rq2vQk0zS34FGO83Ky+MfXJpDMFDI79tXw2hKnEr8wL5uC3PTN6xauOAycOVpueHaxVea3AIs37WHuunJeWNCqx6ptsaLmWFT1BuBc4HhVvTdonytSnTCTWYJHOb5oSj+Gdu/I8O7JDfe/eJMz3H66cisBRw4pibju8dnredgq8zPePHf8uFtfW05NrY1SnWmi1bEIgKouU9WVgeWquk1VvwjexrR+gSa97XKz+e70IYDTIssPftSvxGNcn850LIjcyu3GFxYz2yrzM9o8d0Tt9Tv38/AnVnCSaaLlWN4WkWtDK+hFJE9EjhOR+4FLUps8kyl6dCogLyeLS48cQDe3k2FLDSw52VkcMbhrxPUH6pQrrTI/o80LGvH6jrdWUlF1sIXh/po6q3tpZtE6J5wMfAt41J0jpRwoALKB14DbVHV+6pNoMkFWljC6Vye+c/TghmUtNbAATBvajRmLt0RcH6jMf/w7U8nPSV/9j4lt656qRgOe7txXw8+fWUSXdrnMXbeLZZsrGFrage8dP5STRvUgK0rz84DKmlpmLN7M2Yf2ibmtiS1iYFHVKuCfwD9FJBcoAfarauKTY5gW7cYzRtM5aOiVfsWFlHTIY/ve5GaBTHcdC8DRQ2NPax2ozP/juWOizjVzoK6e3GwblzVd5q1vegt64bPGlfjLNldw1cNzGdGjI9d/aSgnjoweYH774lKenL2eQSUdGNe3i+9pbms8fRtU9YCqlllQadvGhAz8KCJM6Jd8rqU4ic6RierXtZB+xbE7fcaqzF++uYLj/vJOw/hnJvXmxTHx27LNFVz50FxO/dt7vLqoLGwR2auLNvPop+uorVeuf3w++6pr/Uxum2SPWSYpfhSHeRnZOBWmDY3cOixYpMr8RRt3c8GdH7F+536+dd8sq/BPk3kJTIUdCDCn3fE+ry7a3BBgynbv56f/W9Cw3ert+/jti0t8S2tbZYHFJMWPwJLoOGHJ8hpYnMr8OfzlteW8vWwr5ZU1zFu3iwvv+rhhWJrKmjq+ee8s5iZw0zPe1dbVs2DD7oT3X1q2hysfmuMGmDJ+8PhnlIfMTPrYrPW8uqgswhGMF55GFhSR/sBQVX1DRNoBOapakdqkmZZgdO/O5GYLB+oSb4XTXDmWwweXkCXgpQHR9r013PFWQ6t7crKE2pAd91bXcum9s5j9yy9ZnUuKLNtcwf4DyY+O4ASYuRHX/2/uRk4e3TPp87RVXmaQvBx4CmecMIA+wLOpTJRpOQpysxndO/akW9F0babA0rldbsIVtaFBJWD3/gMs2pj4E7WJLlzFfSoEj2Nn4uflsepq4EhgD4CqrgBKU5ko07IclmQFfnPlWMBpduy32WusOCxVEqlfScTOfRZYkuElsFSrasO7LCI5gPU+Mg2SrWfp0i79rcICjhnmrZ4lHp9aJX7KzI+jRVgydoXUu5j4eAksM0Xk50A7ETkBeBJ4IbXJMi1JuNGCvercLrfJTI/pNKFfUdRe+ImYvWanDWSZAlv3VLFq+760nKu8soY6672fMC/f6J8C24CFwHeAl4FfpjJRpmXp3qmACf0Sq6tojl73wUSEm84cTW62f8Pe7ao8wBfb9vp2vEx2oK6e+evLUx5Iqw7UceVDc1J6jmD1Cnv2W64lUV4CSzvgHlX9iqqeB9zjLjOmwRVHD0pov6LC5isGCxhS2oHLpyWW/khmtZF6lptfWspZ//iAU25/j/s/XMPuFNyM6+qV6x+bz9w0FYMF7LQK/IR5CSxv0jiQtAPeSE1yTEt1wsgejeZs8aq5cywB1x431NMMlF7NWt3661menrOB+z5cAzjNgH/9/GJ+/ORnvp/n9y8v5dXFm6Nu42E4sLjtsgr8hHkJLAWq2pCvd//2bwJ00ypkZwnfTuCpvznGCQunXV42vzljlG/Hm7W2dQeWBRvK+dkzC5ssf3PZVrbu8W9U6P++t4q7318ddZth3Tvw5g+nc+QQf+vKrGVY4rwEln0iMiHwQkQOA/ZH2d60Uecd1ifuHEhxh8wILAAnjOzO8SP8aUm/fuf+Vjvs/raKar7z4JywE2zV1StPzd3gy3nu+2A1v3tpadRtxvXpzONXHM7AkvbcfckkThzZ3ZdzA0165BvvvASW64EnReQ9EXkPeBy4JrXJMi1RQW42Fx/eP659mms4l0h+c8Yo8nP8aaU2qxU2Oz5QV8/Vj8ylLErQfHzW+qTnQ7nvg9X85oXoY3ZNHVTMw5dPbegHVZCbzT8vmsA5E3onde4Aq2NJXMxvkKrOAkYAVwHfBQ5R1fQ1zzAtysWHD6Ag1/uNuTk7R4bTt7iQa44d4suxWmNg+d2LS/g0Rv3R2h2VSY32fP+Ha2IGlc7tcvnPNybSIb/xqFQ52Vn8+bxxjOiR3LTZYHUsyYg2NfFx7u9zgNOBYcBQ4HR3mTFNFLfP4yuH9fW+fYblWACuOGYQA0vaJ32c1tYy7InZ67n/I2/TAD82a31C53jgozX8+vnFMbe74uhBdI7QsTY7S/jxScMTOn8wq2NJXLRHy2Pc36eH+flyitNlWrBvTxtIlHmxGsm0HAtAfk42N52ZfEX+ss17UtL8tjnMX1/OL59Z5Hn7VxdtjvuJ/4GP1nDDc7GDSnH7PL55xICo2xw3opSJSY4IYeOFJS5iYFHVX4tIFvCKql4a8vOtNKbRtDD9u7bn5FE9PG2bKc2NQ00b2o3TxiY3uq0qvLdim08paj5bK6q48sE51NQ1rayPpKaunmfmbfS8vdegAnDVMYNpnx99YHYR4SenjPB8/nAsx5K4qIXhqlqPVdSbBHjtMJmJRWEBvzptJO3zms53X1SYy3NXH8kjl0/h9gvG893pgyPm0G5/YwW1cdyQM01NbT1XPzyXzQk0IX5s1jpPPfIf/Mh7UCntmM/Xp3prIDJpQHFSrfxsvLDEeallfV1EfiQifUWkOPCT8pSZFu3QfkVMHhD9Y5KdJXRq52lKoGbRo3MB3z9hWJPlN5w+knF9u3DE4BLOHN+b/zt5BLecOzZscFmxdS9P+9T8tjnc9OLihOuKPt+yN2Zv+Qc/XsuvPAYVgGuOG0K7MME+kh+dNNxzsWwoy7Ekzktg+RbO0PnvAnPcn9mpTJRpHWLlWooK85BEv/VpcskRAxq1MDp6WDfOGt+0Oev5E/vy5/PGhb2J3fb6CvbXJD85Vbo9PmsdD328LuljRPLgx2v51bPe621KO+bz1UneG4YAHNKzU9jr5cXu/QdadG6zOXlpbjwwzI+/AyuZVum4EaUM7ha5dVVx++YfJyyW3OwsfnvWaAAK87K5+azREYPheYf14U/njm2yfPOeKu79MHrv8UyzaONufvWs95xEJC98VkZFVdMipSdnr48rqACcPq4X+TnecysB3//SsIQHGW0tjS/SzcsMkgUi8gMR+Z+IPC0i14tIgYf97hGRrSLS5NPjFq2piJS4r0VE/iYiK0VkQXBPf9NyZWVJ1MEdM2U4l1gmDSjmvMP68KMTh9O3OPpoRucd1oeSDvlNlv/rnS9aTL+IiqoDXP3IXE+V9YNK2kftM7L/QB0vfNZ4/viy3fv5jYcmxaHOGNcr7n0A+nUt5GuT+yW0r7UMS4yXorAHgFHAHcDfgZHAgx72uw84OXShiPQFTgCC88in4PSRGQpcAfzLw/FNC3DWob3D3mghc1uEhfOr00ZySYwmruC0Rpo8sGkz14qqWv7x9soUpMxfqsrP/reQtTsqPW3/h3PGMHFA9Ga9j4UUh934/BL2xVk02L9rIWP7JD4F9jXHDaUwjrqZgJ37LMeSCC+BZbiqXqaqb7s/V+B0loxKVd8FwnXRvQ34PxrPQnkm8IA6Pga6iEhybT1NRijIzebSIweEXZeJfVgi6VyYS7bHIXQnRWi08MBHa1m/09sNu7k8Nms9Ly4oi70h8LUp/ZgyqCtjeke/4S/YsJvFm3YD8ObSLTFHKg7njHG9kqqP69Yxn28fNTDu/awCPzFeAss8EZkaeCEiU4APEjmZiJwBbFTV0LG1ewPBXXU3uMtMK3DRlH5hnxYzualxMiIFlpq6em57/fM0p8a71dv3eS6iKu2Yz0/dfiJjesee5O3xWeuprKn13Kw4VKLFYMG+ffSguOf/saKwxHgJLFOAD0VkjYisAT4CjhGRhSKywOuJRKQQ+AVwQ7jVYZaFbQAvIleIyGwRmb1tW8vvfNYWdCnM4/yJTVvzlHYKX0TW0h3Ss1OTMawCnpm/kSWb9qQ5Rd68uXQL1WFGLA7nt2eNplOBc5Me2r0DeTEG7nxm3kZueWUZG8vjHxh9RI+ODO2e/NhfnQpyuTrKOHA9OzetOrYcS2K8BJaTgYE4Q7wc4/59Ks6wLqfHca7B7r6fuQGqDzBXRHrg5FCC7zx9gE3hDqKqd6rqRFWd2K1btzhOb5rTZUcNbFSUdPKoHlwwKbEK1UyXnSVMiDCciCrc8uqyNKfIm7nrvPVXOXlUD04KGlkhNzuLkT07Rd2noqrW8zhjoc4Yn3xuJeDrU/uHDSDThpZwbJjOlC2lwUWm8dLceG20H68nUtWFqlqqqgNUdQBOMJmgqpuB54GL3dZhU4HdquqtoNe0CH2LCzl1jFNtdtrYntzxtUNjPuW2ZJOijFM18/NtfLhyexpTE5uqMmdt7MDSsSCHG8OMoxarniUZp4/1L7AU5Gbz/S81rSL+wQnD6N4xTI7FisISkrJvtog8ilNsNlxENojIZVE2fxlYBawE7sIZnt+0MldMG8SZ43tx+1fHk5vdeoMKwKSB0Ucd+MMry5Kes8RPG8v3s2VPdcztfn7qIXTv1PQGPCaJFlvRTOjXJWYT73idM6E3Q0o7NLw+fkQph/YrCls0azmWxKTs262qF6pqT1XNVdU+qnp3yPoBqrrd/VtV9WpVHayqY1TVeva3QmP6dOa288eT08qDCsD4vl2idspbuHE3Ly3MnEy5l9zKlIHFfDVMXRmkJseSl53Fj05Mfvj7UDkhxw0M21PaMUxgsfHCEtL6v+Emo2R5bLLb0hXkZjO2T/TWUre+tjzs9L7NYW6MwJKXk8UfzhkT8foNLe3g28ybAFkCt18wniOGlPh2zGAnjerOuL5dOGV0D0a7QTFcTsxahSXGAosxKRKr4+DaHZU8+mlyY3H5ZU6MivvvHT+UQd06RFyfk53FqF7RK/Dj8fuzx3DKmNR1ZRMRfnryiEaDjIbLsVirsMRYYDEmRWKN7gzwtzdXsLe6Ng2piWxfdS1Lyyoirh/Ro6OnaRD8Kg77yckjuCDBIVjicfjgrgwLasbctUM+oRmyiqpaDthAlHGzwGJMikzsXxxzyPYd+2q4891V6UlQBJ9tKKcuQkOCLIE/njvWU2OLMTGK/rz4ztGDuGr64KSPk4jsLAk7/JAVh8XPAosxKdK5MJfhHjr2/fe9VWytiH8iLb9Eq1+59MiBjO/rLWAkm2P56sS+Db35m0v4lmFWgR8vCyzGpFC4TnehKmvqmLF4SxpSE97sCIGlT1E7fnhizGEBGwzu1p52ufEP9AhOZfrNZ0eekiBdSsP1ZbF6lrhZYDEmhU7zWAG9aMPuFKckvPp6jZhj+d1ZoynM8z7DZ052FiMTqMA/YnBXbr/g0Ixoht49XI7FisLi1vxX0phWbFSvTvTz0MFvwcbwgaW6ti6llftfbNvLnqqmxx/XpzPHDIt/yKRxcdazjO3TmTsvnkhBgjkdv3WzHIsvLLAYk0Ii0jCUTTSfb6mg6kDTOUoWbtjNXUlW7r/7+TZWbt0bdl2kjpGXHDEgoWKpcyZ4H5R8ULf23Hfp5IgDdjaHsJ0kLbDEzQKLMSnmpTisrl5ZWtZ01ONPVu/krvdWsa0i9nAr4Xy6eiffvn82J942k588tYCy3ftRVdbvrOSpORt4+JOm/WhKOuRx2tjE+pCM7t3ZU2V/r84FPHTZlIyb7M163/sjcx4VjGmlRvfuRJ+idmzYFX3I+IUbd3Nov8adKmet2UllTR13vLWCm84cHdd5v9i2l8sfmN0wxfDjs9fzzPyNlLTPY9PuyK3QLpzcL6G55QMuPrw/89eXR93mmuOG0qtLu4TPkSrW+94flmMxJsVExFOuZUFIBX5dvTJnjVNU9cgn61izfZ/nc27fW8037/2U3fsbP23X1NZHDSo5WcJFU/p7Pk84p47pGTMnMmVQ7M6jzSFcc2OrY4mfBRZj0sBLPcvCkMCybPMeKtyK+9p65dbXlns61/6aOr59/2zW74x/Uq2TRvegR5j5SuJRkJsddmK3gJIO+QwqaZ/UOVKlpEN+k06tlmOJnwUWY9JgbJ/O9CmKXvSzYmsF+2sOVuDPWr2z0foXF5SxYEP0Iqa6euX6x+fFLIqK5NIjBiS0X6iLpvSLOOrAlIHFzd5fJZLc7Cy6huS20plj+WDl9ogNLVoSCyzGpIGX1mH1CkvKDuZaPl2zs8k2f3xlGaqR53G5+aWlCXe2HN69I4dFmaAsHn2LCzl2ePjOoZNjzFXT3EKbHKerVdgX2/bynQfncPJf3+Xml5ZQUdVyGw1YYDEmTbwUhwXqWVSVT1c3bQr84Rc7eG9F+Nkn7/1gNfd8sDrh9E0aWORrTuIbh4evq8n0wBLaMmxfTR23vf551ICerH3VtVz54Bz2VtdSW6/c9d5qjr11Jk/N2ZBRE8J5ZYHFmDQZ16czvWO0hArUs6zZUcn2veGbGP8xzOyTMxZv5qYXlySVvlG9/J2s65ih3ehb3Pj/7dzO2/hpzSlc7/vb31zBb55fnJKbvKryk6cXsCKkCGz73mp+9ORnnPvvD2MWgWYaCyzGpIlTHNYj6jYL3R74ofUrwZaU7eGFBZsaXs9fX873HptHsg/Ufs6nAs6kbl8PaWE2aUBxxk/2Fm68MID7P1rL95+Y7/sw+ne/v5oXF0SeTXTeunLO/McH/OSpBREfNjKNBRZj0ijW5FUrt+1lX3Utn0QJLAB/nrGc6to61u2o5LL7ZlF1ILmbXXaWNJqbxC/nT+xLXtDMklMyvBgMwjc5Dnhu/ib+9c4Xvp3rqTkb+N1LS2Nup+r0Qzr21ne494PV1Gb4HDEWWIxJo0P7dqFXlOa8qrB40x5mham4D7Zh137++fYXfPO+T9nhQ+XykG4dUjJeV1H7PE4f26vhdabXr0DkHEvAQx+v9SXX8vxnm/i/pz6La5+KqlpufGEJVz40N+nzp5IFFmPSSERi5lreWLqFdTsrYx7r9jdXsGqb906T0fhdDBbsYrcSvzAvO6Xn8Uu0HAvA1opqZizenNQ5Xl20me8/Pp9Eq2wyvUjMAosxaRarddijnzYevys3O/V1EokMd+/VuL5dGNunM4f1L8qIofFjCTdeWKgHPlyb8PHLK2u47tF5EWftbA0y/yob08oc2rcLPaMUh1UEDWPftX0eX4nSi90vqQwsAF+f2p+pg7qm9Bx+6eYhsHy6ZidLNjUdNNSL15dsaRi/rbWywGJMmmVlCaeM9jZ6cGmnAq4+dgh5Pj3p5+dkUZjXtC5lVE9/mxqHOmNcL44/JPZsmpkgPyebosLcmNs9+PGahI6fbDFaS2CBxZhmcNrY6M2OA0o75tO7Szu+OsmfXMvNZ4/hrEMbz5nSp6gdnT3cSJNRkJvNiB6ZX78SEKsCH+CZeRvZHeeQ+nura3k3QgfX1sQCizHN4NC+RfQIM0R7qEBnve8eOzjpXMtFU/px3mF9uCAkSLWECvV0i1WBD1B1oJ4n56yP67hvL9tKTW3rLgYDCyzGNIusLOHk0bFzLYEn556d23Hh5MRzLeP6duGG00cCMKZ3Z0b0ONhnxe8e962BlxwLwAMfrY2rN/6ri1p/MRhYYDGm2XiZpTF4eJHvHjukUWdDr4rb5/HPiyY0TN4lIo1yLSN7Wo4llJccC8C6nZXM/Hybp22rDtTx9vKtySSrxbDAYkwzOaxfUdhxqYIFj7TbvVMBX5vcL65zTBlYzAvXHtVkjLKzDu3dEKRG9bbAEqq7h5ZhAfd/tMbTdu9+vo3KoGkRWjMLLMY0Ey+tw0IDz3enDybfQ64lN1v42SkjeOTyqWEHvuxSmMcpo3tQ3D7PU11PWzOk1PvwNu8s3+Zpds9X20BrsAALLMY0o1idJUtDbvqlnQpiTh08rHsHnr36SL5zzGCyowz4+NVJfRnVq1PGTrrVnCYNLArbLDuShz6O3mGypraeN5bEnienW8d8MnyMTk8ssBjTjCb2L4ra07tbh6brrpw+iILc8F/dbx05kOevOcpThfzUgV0996dpa/JzsjlySInn7Z+YvZ7KmtqI6z9etYM9VZHXB1xyeH/+dN44z+fNVBZYjGlGTnFY+NZhxe3zwlbWl3YsaDIcffdO+Tx02RRuOH2k58Eks7LEt/4xrVGkGTDD2VNVy3PzN0Vc/4rH1mDTh5dy3mF9uPns0Z7PnYkssBjTzCINShktJ/OdYwY35FpOG9OTGdcfzVFDvT9hB0QrKmvrpg/vFtf293+4Juwsk3X1yutLYgeWbh3zG1roXTSlPzd8eWRc588kOc2dAGPaukkDiinpkN9kxNrQ+pVg3Trm893pQ+hT1I6zD+1t9SQp0KtLO0b06MiyzRWetl+2uYJZa3Y1mRpg9pqdbN8be2qDY4Z1azQJ2reOGkh1bT23vLosvoRnAMuxGNPMsrOEo4Y0HaAxVpPX644fyjkT+lhQSaFjR8Q3vlm4psdeW4OFyyFdNX0w139paFxpyAQWWIzJAEPDzN7otZOeSZ146lkAZizazObdVQ2vVZUZHupXsrOEaUPCF7197/ihXDV9cFzpaG4pCywico+IbBWRRUHLfisiC0Rkvoi8JiK93OUiIn8TkZXu+gmpSpcxmSjctMDdrX9Js5vQrwudCrzXGNTWK48EzaezYMNuNgUFmmjniTQQqIjwfycN59IjB3hOR3NLZY7lPuDkkGV/VtWxqjoeeBG4wV1+CjDU/bkC+FcK02VMxhla2qHJMi8TTpnUysnO4uhh8VXiP/LJuoaBJr0Xg0XPGYkIN3x5JBdNiW/kheaSssCiqu8CO0OWBc+M0x4INKE4E3hAHR8DXUTEGtibNqNvcWGTHvXRKu9N+sRbHLZ9bzWvLCpDVT0POumlBZqI8NszR3PeYX3iSk9zSHsdi4jcLCLrgYs4mGPpDQSPP73BXWZMm5CdJQzu1jjXYjmWzHBMnM2OwRn1+PMte1ntYaiX0qBmxrFkZQm3nDuWM8b1ijtN6ZT2wKKqv1DVvsDDwDXu4nDNWsKORS0iV4jIbBGZvW2bt1FFjWkJhnVvHFi8TJFrUq+kQz5d4pwIbc7aXdz62nJP2x4zrFtcLfuys4RvHTUwrvSkW3O2CnsEONf9ewMQ3AW4DxC2G6uq3qmqE1V1Yrdu8T9JGJOpgluGFRXmNgxzb5pfz85NB/KM5XUPY4MBcQ0d01KkNbCISHCD7DOAQM+f54GL3dZhU4HdqlqWzrQZ09yCK/CtRVhm6dk5dddjdCuctiBlPe9F5FFgOlAiIhuAXwOnishwoB5YC1zpbv4ycCqwEqgELk1VuozJVMFNjq0YLLP0SFFgaZebzcCSpi0CW7qUBRZVvTDM4rsjbKvA1alKizEtQaBlWHVtveVYMkzPFF2PET07tsrx2qznvTEZIrhlmLUIyyypyrGM6tX6isHAAosxGSXQMsxyLJmlV5hZOP3gZd6clsgCizEZJNAyzHIsmcVyLPGxwGJMBgm0DLNe95mlRwquR3aWhB0jrjWwwGJMBhlmOZaM1D4/J67BKL0YWtrB82yfLY0FFmMySN/iQgpys2zI/AyUSCfJaEa20mIwsMBiTEbJzhIO619kve4zUM8u/haHjW6lFfdggcWYjNMah/hoDfzufd9aK+7BAosxGSfSTIKmefXoZEVhXllgMSbDtOYbTkvmZ46lf9dCOhbEN2JyS2KBxZgM0xqH+GgN/OzL0pqLwcACizHGeNLLx8r71trjPsACizHGeNDDx+bGrb240wKLMcZ40CE/h475yXeSFGndTY3BAosxxnjmRz3LGeN6tfr5diywGGOMR8kGliyB644fGnvDFs4CizHGeNQryXqWs8b3bphzpzWzwGKMMR4lk2PJzhKubQO5FbDAYowxniXTSfLsQ3szsKS9j6nJXBZYjDHGo0RzLNlZwrXHDfE5NZnLAosxxniU6ND5507oTf+ubSO3AhZYjDHGs0SGzs/JEq49rm3UrQRYYDHGGI865ufQPi++uXK+MrEPfYsLU5SizGSBxRhjPBKRuOpZcrOFq49tO3UrARZYjDEmDvHUs3xlYl/6FLWt3ApA8gPfGGNMG3LbV8ezaNNulpbtYWlZBUvL9rBq217qtfF2edlZbTK3AhZYjDEmLt065nPs8FKOHV7asKzqQB3LN1e4wcYJOOP7daF3F39nnWwpLLAYY0ySCnKzGde3C+P6dkgDMtoAAAboSURBVGnupGQEq2MxxhjjKwssxhhjfGWBxRhjjK8ssBhjjPGVBRZjjDG+ssBijDHGVxZYjDHG+MoCizHGGF9ZYDHGGOMrUdXYW2UoEdkGrE1w9xJgu4/JMf6y65NZ7HpktnivT39V7ZaqxLTowJIMEZmtqhObOx0mPLs+mcWuR2bLtOtjRWHGGGN8ZYHFGGOMr9pyYLmzuRNgorLrk1nsemS2jLo+bbaOxRhjTGq05RyLMcaYFMiYwCIifUXkbRFZKiKLReR77vJiEXldRFa4v4vc5SNE5CMRqRaRH4Uc6/vuMRaJyKMiUhDhnK+KSLmIvBiyfKCIfOKe83ERyYuw/2EislBEVorI30RE3OVfcc9fLyIZ01IjGRl2fa5x33MVkZIoaQ57HUXkaBGZKyK1InJesu9Nc8iw6/GwiCx3979HRHIj7N9qr0con6/P99z3drGIXB/lnCe712GliPw0aHn6vy+qmhE/QE9ggvt3R+BzYCTwJ+Cn7vKfAre4f5cCk4CbgR8FHac3sBpo575+AvhmhHMeD5wOvBiy/AngAvfvfwNXRdj/U+BwQIBXgFPc5YcAw4F3gInN/d62wutzKDAAWAOURElz2Ovo7jsWeAA4r7nf21ZwPU51vwMCPBrl+9Jqr0cKr89oYBFQiDPj7xvA0DDnywa+AAYBecBnwEh3Xdq/LxmTY1HVMlWd6/5dASzF+dCfCdzvbnY/cJa7zVZVnQUcCHO4HKCdiOTgXJBNEc75JlARvMzNdRwHPBV6zpDtegKdVPUjdd79B4LStlRVl3v811uETLk+7vJ5qromWnqjXUdVXaOqC4D6aMfIZBl2PV5WF87DVp/QbVr79Qjl4/U5BPhYVStVtRaYCZwd5pSTgZWqukpVa4DH3HM1y/clYwJLMBEZgBNlPwG6q2oZOBcLJ7JHpKobgVuBdUAZsFtVX4vj9F2BcvciAmzA+UCE6u2uI8Z2rU4zXx+vvF7HFi9TrodbBPYN4NUwq9vM9QiVzPXBya0cLSJdRaQQJ3fYN8x2vYH1Qa/jfX99vT4ZF1hEpAPwNHC9qu5JYP8inEg9EOgFtBeRr8dziDDLwjWd87pdq5IB18fzqcIsa3XXJ8Ouxz+Bd1X1vXCnCrOs1V2PUMleH1VdCtwCvI4TsD8DasNsmuz76+v1yajA4j7xPA08rKr/cxdvcYudAsVPW2Mc5kvAalXdpqoHgP8BR4jIFBGZ7/6cEWX/7UAXt1gAnGz9JhHJDtr/JpyIHpzl70OEIoTWIkOuT7T0zXD3/y8RrmMix81UmXQ9ROTXQDfgB0HL2tT1COXT9UFV71bVCap6NLATWOE2Dghcnytx7kfBOZmY728qr09O7E3Swy3juxtYqqr/L2jV88AlwB/d38/FONQ6YKqbbdyPU+E4W1U/AcbHSoeqqoi8DZyHU055CfCcqtaF7i8iFSIyFSeLezFwR8x/tIXKlOsTjaqeFJLmJtcxmeNnkky6HiLybeAk4HhVbSiHb0vXI5SP1wcRKVXVrSLSDzgHOFxVdxF0fdyAMFREBgIbgQuAr0U7bkqvj5ca/nT8AEfhZL0WAPPdn1Nxyv7eBFa4v4vd7XvgROk9QLn7dyd33Y3AMpzyyQeB/AjnfA/YhvOF2gCc5C4fhFMJuRJ4Msr+E91zfAH8nYMdTs92j1cNbAFmNPf728quz3Xu61qcp6r/Rtg/7HXEaX2zAdgH7AAWN/f728KvR637HQik44a2dj1SfH3eA5bgFIMdH+Wcp+K0PvsC+EXQ8rR/X6znvTHGGF9lVB2LMcaYls8CizHGGF9ZYDHGGOMrCyzGGGN8ZYHFGGOMryywGJMEEflN6Gi0IevPEpGR6UyTMc3NAosxqXUWzqi2xrQZ1o/FmDiJyC9wRlpYj9NhcA6wG7gCZ8jylTiDMY4HXnTX7QbOdQ/xD5zhTyqBy1V1WTrTb0yqWWAxJg4ichhwHzAFZ0ikuThzV9yrqjvcbX4HbFHVO0TkPpz5S55y170JXKmqK0RkCvAHVT0u/f+JMamTMWOFGdNCTAOeUdVKABF53l0+2g0oXYAOwIzQHd2Rbo8AnnSGkgIgP+UpNibNLLAYE79w2fz7gLNU9TMR+SYwPcw2WThzXiQ12KYxmc4q742Jz7vA2SLSTkQ64kzVC870s2XuUOkXBW1f4a5Dnfk4VovIV8AZAVdExqUv6cakh9WxGBOnoMr7tTijvi7BGfn1/9xlC4GOqvpNETkSuAtnpOvzcKZ3/RfOnOi5wGOqelPa/wljUsgCizHGGF9ZUZgxxhhfWWAxxhjjKwssxhhjfGWBxRhjjK8ssBhjjPGVBRZjjDG+ssBijDHGVxZYjDHG+Or/A2v+AsgLWEtRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb_q4 = fb['2018-Q4']\n",
    "plt.fill_between(fb_q4.index, fb_q4.high, fb_q4.low)\n",
    "ticks = ['2018-10-01', '2018-11-01', '2018-12-01', '2019-01-01']\n",
    "plt.xticks(ticks, ticks)\n",
    "plt.xlabel('date')\n",
    "plt.ylabel('price ($)')\n",
    "plt.suptitle('FB differential between high and low price Q4 2018')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can specify a specific range to fill with the `where` argument:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'FB differential between high and low price Q4 2018')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb_q4 = fb['2018-Q4']\n",
    "plt.fill_between(\n",
    "    fb_q4.index, fb_q4.high, fb_q4.low, \n",
    "    where=fb_q4.index.month == 12, \n",
    "    color='khaki', label='December differential'\n",
    ")\n",
    "plt.plot(fb_q4.index, fb_q4.high, 'g--', label='daily high')\n",
    "plt.plot(fb_q4.index, fb_q4.low, 'r--', label='daily low')\n",
    "ticks = ['2018-10-01', '2018-11-01', '2018-12-01', '2019-01-01']\n",
    "plt.xticks(ticks, ticks)\n",
    "plt.xlabel('date')\n",
    "plt.ylabel('price ($)')\n",
    "plt.legend()\n",
    "plt.suptitle('FB differential between high and low price Q4 2018')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Annotations\n",
    "The `plt.annotate()` function can be used to add annotation to plots. Some important arguments:\n",
    "- `xy`: a tuple of the coordinates to annotate\n",
    "- `xytext`: a tuple of coordinates of where to place the annotation text\n",
    "- `arrowprops`: a dictionary of how to draw the arrow from the text of the annotation to the point being annotated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'price ($)')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = fb.close.plot(title='FB Closing Price 2018', figsize=(15, 3))\n",
    "ax.axhspan(support, resistance, alpha=0.2)\n",
    "plt.annotate(\n",
    "    f'support\\n(${support:,.2f})',\n",
    "    xy=('2018-12-31', support),\n",
    "    xytext=('2019-01-21', support),\n",
    "    arrowprops={'arrowstyle' : '->'}\n",
    ")\n",
    "plt.annotate(\n",
    "    f'resistance\\n(${resistance:,.2f})',\n",
    "    xy=('2018-12-23', resistance)\n",
    ")\n",
    "plt.ylabel('price ($)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have many options for the arrow:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'price ($)')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "close_price = fb.loc['2018-07-25', 'close']\n",
    "open_price = fb.loc['2018-07-26', 'open']\n",
    "pct_drop = (open_price - close_price)/close_price\n",
    "fb.close.plot(title='FB Closing Price 2018', alpha=0.5)\n",
    "plt.annotate(\n",
    "    f'{pct_drop:.2%}',\n",
    "    xy=('2018-07-27', (open_price + close_price)/2),\n",
    "    xytext=('2018-08-20', (open_price + close_price)/2 - 1.5),\n",
    "    arrowprops=dict(arrowstyle='-[,widthB=4.0,lengthB=0.2')\n",
    ")\n",
    "plt.ylabel('price ($)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also pass additional parameters down to the [`matplotlib.text.Text` class](https://matplotlib.org/api/text_api.html#matplotlib.text.Text), such as `color`, `fontfamily`, `fontsize`, and `fontweight`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'price ($)')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "close_price = fb.loc['2018-07-25', 'close']\n",
    "open_price = fb.loc['2018-07-26', 'open']\n",
    "pct_drop = (open_price - close_price)/close_price\n",
    "fb.close.plot(title='FB Closing Price 2018', alpha=0.5)\n",
    "plt.annotate(\n",
    "    f'{pct_drop:.2%}',\n",
    "    xy=('2018-07-27', (open_price + close_price)/2),\n",
    "    xytext=('2018-08-20', (open_price + close_price)/2 - 2),\n",
    "    arrowprops=dict(arrowstyle='-[,widthB=3.0,lengthB=0.2'),\n",
    "    color='red',\n",
    "    fontfamily='Arial',\n",
    "    fontsize=14,\n",
    "    fontweight='medium'\n",
    ")\n",
    "plt.ylabel('price ($)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Colors\n",
    "We can pass colors to the `color` argument of the `plot()` method. This can be a color name, a hex code, or RGB values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'price ($)')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.plot(\n",
    "    kind='line',\n",
    "    y='open',\n",
    "    figsize=(5, 3),\n",
    "    color='#8000FF',\n",
    "    legend=False,\n",
    "    title='Evolution of FB Opening Price in 2018'\n",
    ")\n",
    "plt.ylabel('price ($)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RGB values must be given as decimals:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'price ($)')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.plot(\n",
    "    kind='line',\n",
    "    y='open',\n",
    "    figsize=(5, 3),\n",
    "    color=(128/255, 0, 1),\n",
    "    legend=False,\n",
    "    title='Evolution of FB Opening Price in 2018'\n",
    ")\n",
    "plt.ylabel('price ($)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Colormaps\n",
    "#### Finding available colormaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['Blues', 'BrBG', 'BuGn', 'BuPu', 'CMRmap', 'GnBu', 'Greens', 'Greys', 'OrRd', 'Oranges', 'PRGn', 'PiYG', 'PuBu', 'PuBuGn', 'PuOr', 'PuRd', 'Purples', 'RdBu', 'RdGy', 'RdPu', 'RdYlBu', 'RdYlGn', 'Reds', 'Spectral', 'Wistia', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd', 'afmhot', 'autumn', 'binary', 'bone', 'brg', 'bwr', 'cool', 'coolwarm', 'copper', 'cubehelix', 'flag', 'gist_earth', 'gist_gray', 'gist_heat', 'gist_ncar', 'gist_rainbow', 'gist_stern', 'gist_yarg', 'gnuplot', 'gnuplot2', 'gray', 'hot', 'hsv', 'jet', 'nipy_spectral', 'ocean', 'pink', 'prism', 'rainbow', 'seismic', 'spring', 'summer', 'terrain', 'winter', 'Accent', 'Dark2', 'Paired', 'Pastel1', 'Pastel2', 'Set1', 'Set2', 'Set3', 'tab10', 'tab20', 'tab20b', 'tab20c', 'Blues_r', 'BrBG_r', 'BuGn_r', 'BuPu_r', 'CMRmap_r', 'GnBu_r', 'Greens_r', 'Greys_r', 'OrRd_r', 'Oranges_r', 'PRGn_r', 'PiYG_r', 'PuBu_r', 'PuBuGn_r', 'PuOr_r', 'PuRd_r', 'Purples_r', 'RdBu_r', 'RdGy_r', 'RdPu_r', 'RdYlBu_r', 'RdYlGn_r', 'Reds_r', 'Spectral_r', 'Wistia_r', 'YlGn_r', 'YlGnBu_r', 'YlOrBr_r', 'YlOrRd_r', 'afmhot_r', 'autumn_r', 'binary_r', 'bone_r', 'brg_r', 'bwr_r', 'cool_r', 'coolwarm_r', 'copper_r', 'cubehelix_r', 'flag_r', 'gist_earth_r', 'gist_gray_r', 'gist_heat_r', 'gist_ncar_r', 'gist_rainbow_r', 'gist_stern_r', 'gist_yarg_r', 'gnuplot_r', 'gnuplot2_r', 'gray_r', 'hot_r', 'hsv_r', 'jet_r', 'nipy_spectral_r', 'ocean_r', 'pink_r', 'prism_r', 'rainbow_r', 'seismic_r', 'spring_r', 'summer_r', 'terrain_r', 'winter_r', 'Accent_r', 'Dark2_r', 'Paired_r', 'Pastel1_r', 'Pastel2_r', 'Set1_r', 'Set2_r', 'Set3_r', 'tab10_r', 'tab20_r', 'tab20b_r', 'tab20c_r'])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from matplotlib import cm\n",
    "cm.datad.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can pass a colormap to the `colormap` argument:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'price ($)')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = fb.assign(\n",
    "    rolling_min=lambda x: x.low.rolling(20).min(),\n",
    "    rolling_max=lambda x: x.high.rolling(20).max(),\n",
    ").plot(\n",
    "    y=['rolling_max', 'rolling_min'], \n",
    "    colormap=cm.coolwarm_r, \n",
    "    label=['20D rolling max', '20D rolling min'],\n",
    "    figsize=(12, 3),\n",
    "    title='FB closing price in 2018 oscillating between '\\\n",
    "        '20-day rolling minimum and maximum price'\n",
    ")\n",
    "ax.plot(fb.close, 'purple', alpha=0.25, label='closing price')\n",
    "plt.legend()\n",
    "plt.ylabel('price ($)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also grab colors out of a colormap, which is a callable:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 0.2529411764705882, 0.5019607843137255, 1.0)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cm.get_cmap('ocean')(.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The color returned in the previous result is in RGBA format. We can use this to plot with the `color` argument:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'price ($)')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.close.plot(\n",
    "    color=cm.get_cmap('ocean')(.5), \n",
    "    title='FB closing price 2018'\n",
    ")\n",
    "plt.ylabel('price ($)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice that we get a different color if we just supply the colormap. This is because we picked the color in the middle of the colormap in the previous example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'price ($)')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.close.plot(\n",
    "    colormap=cm.get_cmap('ocean'), \n",
    "    title='FB closing price 2018'\n",
    ")\n",
    "plt.ylabel('price ($)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Making colormaps\n",
    "In order to make colormaps, we need some utility functions which can be found in the `color_utils.py` module. We will need to be able to convert hex colors to RGBA decimals, blend colors to build a colormap, and draw the colormap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import color_utils"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Sequential two-color colormaps\n",
    "Blend from the first color to the second:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1f41ab50>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_edge_colors = ['#B2E4DF', '#C2C1E1']\n",
    "rgbs = color_utils.hex_to_rgb_color_list(my_edge_colors)\n",
    "my_cmap = color_utils.two_color_sequential_cmap(rgbs)\n",
    "color_utils.draw_cmap(my_cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Blended colormaps\n",
    "Use `blended_cmap()` to blend any number of colors:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x20507db0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_colors = [\n",
    "    '#00F', '#B2E4DF', '#C2C1E1', 'C0C0C0', 'EEE', '000000'\n",
    "]\n",
    "rgbs = color_utils.hex_to_rgb_color_list(my_colors)\n",
    "my_cmap = color_utils.blended_cmap(rgbs)\n",
    "color_utils.draw_cmap(my_cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Seaborn Color Palettes\n",
    "Seaborn also provides additional color palettes, along with utility functions for picking colormaps and making custom ones interactively in Jupyter. See [this tutorial](https://seaborn.pydata.org/tutorial/color_palettes.html) for more information.\n",
    "\n",
    "##### Showing a color palette"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x72 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.palplot(sns.color_palette(\"BuGn_r\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Building a color palette interactively for use with matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "087601e7c34c4f6a8fc0537fc082f81c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=220, description='h_neg', max=359), IntSlider(value=10, description='h_p…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "diverging_cmap = sns.choose_diverging_palette(as_cmap=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x205e0af0>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_utils.draw_cmap(diverging_cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cycling through colors\n",
    "We can use itertools to cycle through colors:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<itertools.cycle at 0x205f2d78>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import itertools\n",
    "\n",
    "colors = itertools.cycle(['#ffffff', '#f0f0f0', '#000000'])\n",
    "colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'#ffffff'"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(colors)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or we can work with a `ListedColormap` from matplotlib:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(1.0, 0.0, 0.0, 1.0), (0.0, 0.0, 0.0, 1.0), (1.0, 0.0, 0.0, 1.0)]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from matplotlib.colors import ListedColormap\n",
    "red_black = ListedColormap(['red', 'black'], N=2000)\n",
    "[red_black(i) for i in range(3)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We may also consider using a generator:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<generator object color_generator at 0x205ED070>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def color_generator():\n",
    "    for year in range(1992, 200019): # integers in [1992, 200019)\n",
    "        if year % 100 == 0 and year % 400 != 0:\n",
    "            # special case (divisible by 100 but not 400)\n",
    "            color = '#f0f0f0'\n",
    "        elif year % 4 == 0:\n",
    "            # leap year (divisible by 4)\n",
    "            color = '#000000'\n",
    "        else:\n",
    "            color = '#ffffff'\n",
    "        yield color\n",
    "    \n",
    "year_colors = color_generator()\n",
    "year_colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'#000000'"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(year_colors)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also make a generator with a generator expression:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<generator object <genexpr> at 0x205ED370>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_colors = (\n",
    "    '#ffffff' \\\n",
    "    if (not year % 100 and year % 400) or year % 4 \\\n",
    "    else '#000000' for year in range(1992, 200019)\n",
    ")\n",
    "year_colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'#000000'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(year_colors)"
   ]
  }
 ],
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